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Ronald McGarvey is a Full Professor at IÉSEG School of Management since 2022, with prior roles including Associate Professor with Tenure at the University of Missouri (2013-2022) and Senior Operations Researcher at RAND Corporation (2002-2022). He holds a Ph.D. in Industrial Engineering and Operations Research from Pennsylvania State University and an H.D.R. in Industrial Engineering from the University of Paul Sabatier, France. Education : H.D.R. (2024), Industrial Engineering, University of Paul Sabatier Ph.D. (2002), Industrial Engineering and Operations Research, Pennsylvania State University His research focuses on Operations Research and Robust Optimization applied to diverse domains: Healthcare Logistics : Modeling access disparities in rural obstetric care for American Indian populations Environmental Sustainability : Analyzing biomass energy systems, forest carbon impacts, and waste management frameworks Network Design : Developing optimization models for supply chain resilience, military logistics, and urban transit safety Policy Analysis : Evaluating multi-state environmental collaborations and localized food systems His publications demonstrate strong interdisciplinary applications of mathematical programming and spatial optimization to real-world challenges in healthcare access, energy sustainability, and transportation systems. Key Collaborations : Working with researchers in public health (Thorsen, Noble), environmental science (Aguilar), and engineering (Mirzaee, Gutierrez-Lopez)

• Operations Research
• Robust Optimization
• Sustainable Systems
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Pierre-Philippe Combes is a CNRS Research Professor and Head of Doctoral Studies in Economics at Sciences Po since 2021. He also serves as Co-Editor of the Journal of Urban Economics and Director of Graduate Programs in Economics at Sciences Po. Previously, he held positions at Aix-Marseille University (2003-2016), Boston University (2001-2003), and CERAS-École des Ponts et Chaussées (1998-2001). He holds a PhD in Economics from CREST (Paris School of Economics). Education PhD in Economics, Paris School of Economics (CREST), 1996 Habilitation à Diriger des Recherches (HDR), Aix-Marseille University, 2004 Research Interests : Urban economics and economic geography, focusing on local labor markets, housing markets, firm and household location choices, and resulting spatial disparities. His work uses machine learning for historical data recovery and examines agglomeration economies, migration externalities, and discrimination in urban contexts. Scientific Output Trends : Recent publications analyze urbanization in Sub-Saharan Africa, agglomeration economies, real income inequality in China, and historical land use through machine learning. Collaborative work spans France, China, and international institutions, addressing housing costs, peer effects in research, and urban poverty metrics. Scientific Awards : NATO Advanced Fellowship Grant (2001-2002) PhD Thesis Award - Association Française de Science Économique (AFSE) PhD Thesis Award - Association de Science Régionale de Langue Française (ASRDLF) Mention très honorable avec félicitations du jury (PhD thesis) Teaching & Editorial Roles : Teaches urban economics at Sciences Po and ENS Lyon. Serves on editorial boards of the Journal of Economic Geography , Regional Science and Urban Economics , and Journal of Urban Economics . Participates in evaluation committees for PhDs and habilitations across Europe. Policy Contributions : Advises on urban poverty measurement for the World Bank and contributes to French regional policy reports, including the Grand Paris Express project and CNIS (National Statistical Council).

• Urban Economics
• Economic Geography
• International Trade
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Jean-François Le Gall is a full Professor at Université Paris-Saclay and a member of the Orsay Mathematics Laboratory (LMO) since 2006. He has held prominent positions at Pierre and Marie Curie University (1988-2006) and École Normale Supérieure (1997-2007). A Senior Member of the University Institute of France (2007-2017) and an elected member of the Academy of Sciences since 2013, he served as Vice-President of Research for the Mathematics Department at Orsay (2020–present) and led the ERC Advanced Grant GeoBrown (2017–2023). Education: Ecole Normale Supérieure (1978–1982), PhD in stochastic differential equations (1982), State Doctorate on Brownian motion (1987) Research Interests focus on probability theory , particularly Brownian motion , superprocesses , random trees , planar maps , and their connections to PDEs and geometric models. His work bridges stochastic analysis , branching processes , and coalescence phenomena . Selected Publications include foundational studies on the Brownian map , random geometry , and spatial branching processes . His 2025 paper on The area of spheres in the Brownian plane explores fractal properties of random metric spaces, while the 2020 Growth-fragmentation processes work links Brownian trees to fragmentation models. Scientific Distinctions : 1986 Rollo Davidson Prize 1997 Loève Prize in Probability 2005 Sophie Germain and Fermat Prizes 2019 Wolf Prize in Mathematics 2022 BBVA Frontiers of Knowledge Award Academic Leadership includes directing the Probability and Statistics Team (2013–2019) and the Master 2 in Probability and Statistics (2007–2015). He chairs editorial roles in Grundlehren der mathematischen Wissenschaften (since 2020) and Probability Theory and Related Fields (2005–2010).

• Probability
• Brownian motion
• Lévy processes
• +8 more

Thomas Chaney is a Professor of Economics at the University of Southern California (USC), holding the John Elliott Chair in Economics. He is affiliated with Sciences Po’s Department of Economics and leads the ERC Project HTMG. His research focuses on International Trade, Networks, and Finance, with notable contributions to historical trade dynamics and modern financial constraints. Chaney is a CEPR and CESifo Research Fellow, reflecting his academic standing. Research Interests: Chaney’s work bridges historical and contemporary economic phenomena, analyzing trade networks, collateral constraints in corporate finance, and the impact of migration on innovation and urban development. His research often employs innovative methodologies, such as combining archaeological data with economic models to study ancient trade systems. Articles Trends: Recent work examines Bronze Age trade networks, modern corporate investment dynamics, and the role of real estate collateral. His 2024 articles explore ancient trade’s end and contemporary empathy’s economic implications, showcasing interdisciplinary approaches. Earlier papers like Trade, Merchants, and the Lost Cities of the Bronze Age (2019) exemplify his historical focus. Grants & Awards: Chaney leads the ERC-funded HTMG project and holds prestigious fellowships. His work has been published in top journals and spans empirical trade analysis, financial economics, and historical methods. Labs/Teams: Active in USC’s Economics Department and collaborates with global institutions like Sciences Po and the Bank for International Settlements (BIS). His research group integrates economists, historians, and data scientists for interdisciplinary projects.

• International Trade
• Networks
• Finance
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Jérôme Picard is a Researcher at the French National Center for Scientific Research (CNRS) affiliated with UMR 8586 - PRODIG at Campus Condorcet. His work focuses on Geomatics, Remote Sensing, Cartography , and Environmental Changes . His research involves GIS project management Linguistic and ethnic cartography Land use and territorial dynamics in Central Africa and the Himalayas Recent publications include cartographic contributions to linguistic studies in Africa, Asia, and the Himalayas (2016-2021), with methods integrating GIS and remote sensing for analyzing environmental and societal issues . Scientific awards include Award at Pastoralism and Wide Open Spaces festival for 'The Waters of Discord' He has collaborated with institutions like the University of Bangui, ENSG-Marne la Vallée, and the French Society of Photogrammetry and Remote Sensing (SFPT), and contributed to GIS training programs for doctoral students and researchers.

• Geomatics
• Remote Sensing
• Spatial Analysis
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David Gesbert serves as Professor and Director of EURECOM, a leading research institution in Sophia Antipolis, France, specializing in digital sciences. Previously heading the Communications Systems Department, he now directs EURECOM while leading the Foundations & Algorithms research group within the Communication Systems Department. His leadership spans institutional administration and cutting-edge research supervision. Dr. Gesbert's research portfolio demonstrates exceptional depth across communications theory and wireless networking: Communication theory and information theory fundamentals Signal processing for wireless networks with emphasis on robustness Machine learning applications for decentralized network optimization Connected robotics and UAV-enabled flying radio access networks 6G wireless architecture with focus on AI integration Distributed decision making under information uncertainties His publication trajectory reveals a strategic evolution from classical communication theory toward AI-integrated wireless systems, particularly focusing on UAV-aided networks and connected robotics for 6G. Recent work emphasizes learning-based approaches for network optimization under asymmetric information conditions, with growing emphasis on sustainability and green communications. Dr. Gesbert's scientific recognition includes: Fellow of IEEE (2011) and Asia Pacific Artificial Intelligence Association (2021) Thomson-Reuters List of Highly Cited Researchers in Computer Science Multiple Best Paper Awards at IEEE conferences (EW 2017, ICC 2019) ERC Advanced Grant recipient for the PERFUME project on Smart Device Communications 3IA Chair funding for AI for future IoT Networks 2019 Winner of 'Fundamental research project of the year' by French SCS He actively mentors PhD students and researchers, welcoming collaboration in his research domains. His group secures substantial research funding including ERC grants, 3IA Chairs, and participation in major European projects like the WINDMILL ITN Marie Curie project on Machine Learning in Wireless Communications. Dr. Gesbert serves on editorial boards and regularly delivers keynotes at premier international conferences, establishing himself as a thought leader in next-generation wireless communications.

• Communication theory
• Signal processing for wireless networks
• Information theory
• +7 more

Thomas Grenier is an Associate Professor in the Department of Electrical Engineering at INSA Lyon and a member of the CREATIS laboratory (CNRS UMR 5220, INSERM U1294). He obtained his HDR (Habilitation à Diriger des Recherches) in 2023 and his Ph.D. in Image Processing from INSA Lyon in 2005. His research focuses on medical image segmentation, clustering, and filtering using feature space, scale-space, and deep learning approaches. Doctoral School: EEA (Electronics, Energy, and Automatics) Research Affiliation: CREATIS Lab (CNRS/INSERM/INSA Lyon/Université Lyon 1/Université Jean Monnet Saint-Etienne) He has contributed to 20 papers and co-supervised 5 PhD students, including Léo Dumortier and Florent Guépin. Grenier leads the annual Deep Learning for Medical Imaging (DLMI) school, which he co-founded, and has organized five editions across Lyon and Montreal since 2019. The school emphasizes practical deep learning applications in medical imaging for participants of all expertise levels. His work spans interdisciplinary domains such as medical imaging , deep learning , and image processing , with recent publications on generative AI for MRI synthesis, explainable networks, and segmentation of neurological pathologies in preclinical models. He manages pedagogical platforms, coordinates LabEx PRIMES project activities, and oversees lab room infrastructure for 200 hours/year across 10 training programs. Grenier also leads the MUSIC transversal project on Multiple Sclerosis since 2019.

• Medical Image Segmentation
• Clustering
• Filtering
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Claire Zalc is a CNRS Research Director and Director of Studies at École des hautes études en sciences sociales (EHESS), with affiliations to the Institute of Modern and Contemporary History (IHMC), the Centre de Recherches Historiques (CRH), and the GLOBAL department at the Institut Convergence des Migrations. Her work bridges migration history, Holocaust studies, and quantitative methodologies. Her research focuses on the intersection of migration and persecution in the 20th century, particularly through prosopographical studies like Face à la persecution (2010) and Dénaturalisés (2016), which examine administrative interactions under the Vichy regime. She also explores the use of quantitative methods in historical research, co-authoring Quantitative Methods. An Introduction (2019). Recent projects, such as the ERC Consolidator LUBARTWORLD (2019–2025), analyze transnational mobilities and persecution through case studies in Lubartów and other locations. Key themes in her publications include Vichy-era denaturalization , Polish Jewish migrations , and microhistories of the Holocaust . Her work often integrates spatial analysis and relational data frameworks, as seen in contributions to sequence analysis and social network studies. Scientific Distinctions : Bronze Medal of the CNRS (2013) Prix Malesherbes d’histoire de la Justice (2017) Finalist, Eugen Weber Book Prize (2022) Prix André Conquet for Melting Shops (2010) She co-edits the journal Revue d’histoire de la Shoah and previously co-directed the Histoire-Repères collection at La Découverte (2008–2021). Her methodological expertise has shaped training programs at EHESS and collaborative research initiatives like PERSI (Internet Social Networks Study Program) and relational data analysis.

• 20th Century History
• Holocaust Studies
• Migration History
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Mélanie Ouvry is an Associate Professor and Dean of Faculty at MBS Education since 2017. With over 15 years of experience in higher education, she has held roles as program director for specialized master's programs, department head for marketing and interim management, and served as a communication strategy consultant at Publicis Group. Her research focuses on consumer behavior, retail dynamics, and cross-cultural marketing experiences. Her academic expertise includes strategic marketing, buyer behavior analysis, and advertising strategy. Key research themes explore multi-store shopping behaviors, consumer experience valuation, loyalty mechanisms, and the cognitive dimensions of retail environments. She has conducted extensive studies in retail distribution systems, communication strategies, and tourism-related consumer behavior in historical commercial districts like the Medina of Sousse. Her publications span topics from grocery shopping decision-making to television audience engagement, reflecting her interdisciplinary approach bridging marketing, cognitive science, and cultural studies. Teaching responsibilities include advanced marketing strategy courses and consumer behavior analysis modules.

• Consumer Behavior
• Marketing Strategy
• Retail Distribution
• +4 more

Yoann Demoli is a Lecturer in Sociology at the University of Versailles Saint-Quentin-en-Yvelines (UVSQ), part of the Université Paris-Saclay. He is affiliated with the PRINTEMPS Laboratory (CNRS-UVSQ) and the Quantitative Sociology Laboratory at CREST. His academic career spans over a decade with teaching and research positions at various prestigious French institutions including Sciences Po Paris and Paris 8 University. His educational background includes: Doctoral thesis in sociology under Philippe Coulangeon at Sciences Po Paris (2010-2015) Master 2 in Sociology and Statistics from School for Advanced Studies in Social Sciences and ENS Paris (2009-2010) Master 1 in Sociology from University of Paris IV (2007-2008) Bachelor's degrees in Sociology and Economics from Universities of Paris IV and I (2006-2007) Preparatory classes at Lycée Carnot and Lycée Henri IV (2003-2006) Demoli's research focuses on the sociology of consumption, social stratification, environmental sociology, and particularly the sociology of the automobile. His work employs quantitative methods to analyze how automobile use and ownership patterns reflect and reinforce social inequalities. He examines how factors like class, gender, and geography influence mobility practices, with particular attention to working-class households in peri-urban and rural areas. His research reveals complex relationships between environmental attitudes and actual car use behaviors, challenging simplistic narratives about ecological conversion. His publications demonstrate a consistent focus on the intersection of social structure and mobility practices, with particular attention to historical trends and class analysis. The collection shows a progression from analyzing specific aspects of automobile culture to broader questions of ecological conversion and social stratification in transportation systems. His scientific work has been recognized with the Young Author Prize at the 22nd GERPISA International Conference in 2014. He regularly contributes to academic discourse through peer review for journals such as Acts of Research in Social Sciences and Transport Security Review. As an advisor, Demoli has supervised numerous undergraduate research projects and master's theses on topics ranging from police uniforms to online dating sociology. His current research projects include CONDUIRE (financed by ADEME), a study on magistrates' mobility funded by the Ministry of Justice, and research on the social drivers of ecological conversion coordinated by Philippe Coulangeon. Within the academic community, Demoli co-organizes the workshop 'Quantitative Sociology and Sociology of Quantification' and co-leads the Mobility theme of the Federation for Research in Computer, Human and Social Sciences at UVSQ. He also serves as Director of the Department of Sociology and Geography at UVSQ and is an active participant in research dissemination through media appearances.

• Sociology of consumption
• Social stratification
• Environmental sociology
• +2 more

Joost de Moor is an Assistant Professor in Political Science at Sciences Po’s Centre for European Studies and Comparative Politics (CEE) . His research bridges Environmental Politics , Social Movements , and Political Participation , with a focus on climate activism, lifestyle politics, and post-political strategies. He holds a PhD in Social Sciences: Political Science from the University of Antwerp (2016) and has held postdoctoral positions at Keele University (2016-2018) , Stockholm University (2018-2021) , and Leiden University (2021) . A visiting scholar at the University of Mannheim (2015) , his work spans urban environmentalism, climate summit dynamics, and strategic movement adaptation.

• Environmental Politics
• Social Movements
• Political Participation
• +4 more

Clément Mallet is a Senior Researcher and Director of the LASTIG laboratory at Université Gustave Eiffel, IGN, and École Nationale des Sciences Géographiques (ENSG) in Champs-sur-Marne, France. He leads research in geospatial computer vision, focusing on the intersection of remote sensing, computer vision, and machine learning. His responsibilities include overseeing 75 laboratory members and directing the STRUDEL research team focused on spatio-temporal information modeling. Education: Habilitation (HDR) in Geographical Information Science, Université Paris-Est (2016) PhD in Image and Signal Processing, Télécom ParisTech (2010) Engineering Degree in Geographical Information Science, ENSG (2005) Master's in Remote Sensing, Université Paris 6 (2005) Research Interests: Dr. Mallet specializes in multi-modal land-cover mapping, change detection, geohistorical image analysis, and airborne lidar processing. His work integrates deep learning with geospatial data analysis to solve complex problems in environmental monitoring, urban studies, and historical geography. Current research explores foundation models for earth observation and semantic change detection using hybrid data generation techniques. Publication Trends: Mallet's recent articles (2021-2025) demonstrate strong focus on deep learning applications for geospatial challenges: 40% address land-cover mapping innovations, 30% develop novel change detection methodologies, 20% advance lidar data processing, and 10% explore historical map analysis. His work consistently bridges computer vision theory with operational remote sensing applications. Awards and Recognition: Schwidefsky Medal from ISPRS (2016) 5x Outstanding Reviewer awards (CVPR/ECCV/ICCV 2017-2024) Best Paper Awards at GEOBIA 2016 and ISPRS 2014 Young Researcher Award from GDR ISIS (2010) EuroSDR Best PhD Thesis supervision (2020) Research Leadership: Directs multiple national and international projects including MAESTRIA (ANR-funded multi-modal EO analysis) and HIATUS (historical image analysis). Supervised 14+ PhD students in geospatial AI topics. Secured funding from ANR, CNES, EU H2020 (VOLTA, LandSense), and industrial partners. Leads the STRUDEL team developing cutting-edge methods for territory dynamics analysis. Professional Service: Editor-in-Chief of ISPRS Journal of Photogrammetry and Remote Sensing (2021-present). Organized major conferences including ISPRS Congress (2020-2022 Program Chair) and JURSE events. Active in ISPRS working groups since 2008, currently leading initiatives in large-scale machine learning applications for geospatial data.

• Geospatial Computer Vision
• Remote Sensing
• Machine Learning
• +4 more

Thomas Walter is a Professor at Mines ParisTech and Director of the Centre for Computational Biology (CBIO) , a research group affiliated with the Institut Curie and INSERM . His work focuses on applying Machine Learning and Computer Vision to biomedical image analysis, particularly in high-content screening and computational pathology . He also serves as Deputy Director of the Computational Oncology (U1331) unit and leads the Statistical Learning and Modeling of Biological Systems team. PhD in Medical Image Analysis (2003, Mines ParisTech) Postdoctoral work at EMBL (European Molecular Biology Laboratory) Director of CBIO since 2018 Holder of a PRAIRIE Chair (Paris Artificial Intelligence Research Institute) since 2019 Dr. Walter's research bridges biomedical imaging , machine learning , and cancer genomics . Key areas include: Statistical reconstruction of biological networks Prediction of tumor progression at genomic/transcriptomic levels Development of deep learning methods for cell cycle analysis Integration of multi-omics data for precision oncology Tools for spatial transcriptomics (e.g., autoFISH, RNA2seg) Recent publications highlight his work in spatial transcriptomics , immunotherapy outcome prediction , and deep learning for digital pathology . His team has developed open-source tools like FISH-quant and pyHiM for single-molecule RNA imaging analysis. Scientific Honors: PRAIRIE Chair (2019) for AI research in life sciences Dr. Walter actively contributes to teaching deep learning for image analysis in multiple graduate programs across France, including courses at Mines ParisTech , Université Paris-Saclay , and Institut Curie . His software tools (FISH-quant, pyHiM) and methodological frameworks (e.g., Cut-Detector, PointFISH) have become standard resources in bioimage informatics.

• Biomedical Image Analysis
• Machine Learning
• Computational Pathology
• +4 more

Thierry Badard is an Associate Professor at the Department of Geomatics Sciences , Université Laval, where he also serves as Director of the Center for Research in Geospatial Data and Intelligence (CRDIG) . With over 28 years of experience in geospatial science, he leads research initiatives at the intersection of GeoAI , LiDAR processing , and smart city technologies . Director, CRDIG (2016-2022) Steering Committee Member, Big Data Research Centre (CRDM) Researcher, Institute for Intelligence and Data (IID) Research Expertise spans geospatial big data, GeoNLP, and IoT applications for digital twins. His work addresses flood risk modeling , 3D urban analytics , and environmental monitoring through AI-driven solutions. Recent publications focus on contrastive learning for LiDAR segmentation and geospatial ontologies for early warning systems. Grant Leadership includes collaborative projects on smart insurance analytics (2018-2025), Arctic bioaerosol research (2019-2025), and Quebec-Morocco digital twin partnerships (2022-2023). He has advised 15+ graduate students in geomatics and related fields.

• Geospatial Big Data
• GeoAI
• GeoNLP
• +9 more

Nathalie Frascaria-Lacoste is a Professor at AgroParisTech and Director of the UMR ESE (Ecology, Society, Evolution) since 2022. She previously served as Assistant Professor at ENGREF (Paris/Nancy) and Deputy Director of UMR CNRS/UPS/AgroParisTech 8079 for nearly two decades. Her research focuses on three core areas: (1) socio-ecosystem dynamics related to biodiversity and climate change, (2) environmental assessment processes in French public policies, and (3) urbanization impacts on biodiversity with decision-making tools. She has coordinated interdisciplinary projects like the « Manuel de la Grande Transition » and serves on scientific councils for institutions like the Yves Rocher Foundation and Campus de la Transition. Current affiliations: AgroParisTech, UMR ESE, Université Paris-Saclay Former affiliations: ENGREF, CNRS Noteworthy grants include VINCI Chairs (2009-2012, 2014-2019), LabEx funding (INDISS/ACT), ITTECOP grants, and ANR EVNATURB. Her editorial roles include the NSS journal and scientific councils at INRAE and ACT department. Prominent scientific award: Chevalier in the National Order of Merit (2016). Supervision includes 5 current PhD students and 6 former PhD/postdocs. She collaborates with institutions like INRAE, CNRS, and the Yves Rocher Foundation.

• Evolutionary genetics
• Forest ecology
• Hybridization studies
• +7 more